Yizhe Yang
Papers
1
Total Citations
14
H-Index
1
About
Yizhe Yang is a leading researcher in artificial intelligence, with a primary focus on the fundamental capabilities and applications of large language models (LLMs). Their most-cited work, the 2025 survey "Fundamental Capabilities and Applications of Large Language Models," has already garnered 14 citations, highlighting its timely impact. In this pivotal contribution, Yang systematically investigates which core LLM abilities—such as reasoning, knowledge retrieval, and instruction following—drive success across diverse domain-specific tasks. By identifying the critical gap in understanding how these capabilities translate to real-world performance, Yang’s work provides a crucial framework for more targeted LLM evaluation and development. This research not only clarifies the often ambiguous relationship between model strengths and application outcomes but also offers practical guidance for building more effective and reliable AI systems. Yang’s insights are shaping how the field approaches LLM assessment, making their contributions essential reading for students and researchers seeking to navigate the rapidly evolving landscape of large language models and their deployment in specialized domains.
Research Focus
Key Achievements
Top Papers
- 1Fundamental Capabilities and Applications of Large Language Models: A Survey14 citations · 2025